Department of Medicine and Surgery, University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit, Vedano al Lambro, Italy.
Department of Medicine and Surgery, University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit, Vedano al Lambro, Italy.
J Proteomics. 2019 Jan 16;191:38-47. doi: 10.1016/j.jprot.2018.04.028. Epub 2018 Apr 23.
Renal Cell Carcinoma (RCC) is the most frequent form of kidney cancer and approximately 80% of cases are defined as clear cell RCC (ccRCC). Among the histopathological factors, tumour grade represents one of the most important parameters to evaluate ccRCC progression. Nonetheless, the molecular processes associated with the grading classification haven't been deeply investigated thus far. Therefore, the aim of this study was to uncover protein alterations associated with different ccRCC grade lesions. Formalin-fixed paraffin-embedded samples from ccRCC patients were analysed by histology-guided MALDI-MSI and shotgun proteomics in order to study the biological processes implicated in ccRCC. MALDI-MSI data highlighted signals able to discriminate among different grades (AUC > 0.8). The ion at m/z 1428.92 was identified as Vimentin and was overexpressed in grade 4 lesions, whereas ions at m/z 944.71, m/z 1032.78 and m/z 1325,99 were identified as histones H2A, H3, and H4, respectively. nLC-ESI-MS/MS analysis provided a further list of proteins and their abundances, showing a difference in protein content among the four grades. Moreover, the obtained molecular profiles showed a correspondence with the different Cancer-Specific Survival rate at 10 years post-surgery, as reported in literature. SIGNIFICANCE: Despite the generally accepted role of tumour grade in ccRCC diagnosis, the proteomic processes associated with the different tumour grades has not been extensively studied and doing so may provide insights into the development of the disease. In the current study, data obtained using MALDI-MSI was integrated with that obtained using nLC-ESI-MS/MS to highlight the proteomic alterations underlying the different ccRCC grades. The combined approach identified vimentin and three histones (H2A, H3 and H4) that were able to discriminate among the four grades whilst the nLC-ESI-MS/MS analysis alone provided a further list of proteins with an altered abundance. Furthermore, there was a good correlation between the molecular profiles generated for each grade and the different Cancer-Specific Survival rate at 10 years post-surgery. Such findings could be a valuable starting point for further studies aimed at clarifying the molecular events that occur during the development of ccRCC.
肾细胞癌 (RCC) 是最常见的肾癌形式,约 80%的病例被定义为透明细胞肾细胞癌 (ccRCC)。在组织病理学因素中,肿瘤分级是评估 ccRCC 进展的最重要参数之一。然而,迄今为止,与分级分类相关的分子过程尚未得到深入研究。因此,本研究的目的是揭示与不同 ccRCC 分级病变相关的蛋白质改变。通过组织学指导的 MALDI-MSI 和 shotgun 蛋白质组学分析 ccRCC 患者的福尔马林固定石蜡包埋样本,以研究与 ccRCC 相关的生物学过程。MALDI-MSI 数据突出显示了能够区分不同分级的信号 (AUC>0.8)。质荷比 m/z 1428.92 被鉴定为波形蛋白,在 4 级病变中过度表达,而质荷比 m/z 944.71、m/z 1032.78 和 m/z 1325.99 分别被鉴定为组蛋白 H2A、H3 和 H4。nLC-ESI-MS/MS 分析提供了蛋白质及其丰度的进一步列表,显示了四个等级之间蛋白质含量的差异。此外,获得的分子谱与文献中报道的 10 年后手术后不同的癌症特异性生存率相对应。意义:尽管肿瘤分级在 ccRCC 诊断中通常被认为具有重要作用,但与不同肿瘤分级相关的蛋白质组过程尚未得到广泛研究,因此可能为疾病的发展提供新的见解。在本研究中,使用 MALDI-MSI 获得的数据与使用 nLC-ESI-MS/MS 获得的数据相结合,以突出不同 ccRCC 分级的蛋白质改变。联合方法鉴定了波形蛋白和三种组蛋白 (H2A、H3 和 H4),它们能够区分四个分级,而单独使用 nLC-ESI-MS/MS 分析则提供了蛋白质丰度改变的进一步列表。此外,为每个分级生成的分子谱与 10 年后手术后不同的癌症特异性生存率之间存在良好的相关性。这些发现可能为进一步阐明 ccRCC 发展过程中发生的分子事件提供有价值的起点。